scripts/analyse-locks-simpletrace.py

   1 #!/usr/bin/env python
   2 # -*- coding: utf-8 -*-
   3 #
   4 # Analyse lock events and compute statistics
   5 #
   6 # Author: Alex Bennée <alex.bennee@linaro.org>
   7 #
   8
   9 from __future__ import print_function
  10 import simpletrace
  11 import argparse
  12 import numpy as np
  13
  14 class MutexAnalyser(simpletrace.Analyzer):
  15     "A simpletrace Analyser for checking locks."
  16
  17     def __init__(self):
  18         self.locks = 0
  19         self.locked = 0
  20         self.unlocks = 0
  21         self.mutex_records = {}
  22
  23     def _get_mutex(self, mutex):
  24         if not mutex in self.mutex_records:
  25             self.mutex_records[mutex] = {"locks": 0,
  26                                          "lock_time": 0,
  27                                          "acquire_times": [],
  28                                          "locked": 0,
  29                                          "locked_time": 0,
  30                                          "held_times": [],
  31                                          "unlocked": 0}
  32
  33         return self.mutex_records[mutex]
  34
  35     def qemu_mutex_lock(self, timestamp, mutex, filename, line):
  36         self.locks += 1
  37         rec = self._get_mutex(mutex)
  38         rec["locks"] += 1
  39         rec["lock_time"] = timestamp[0]
  40         rec["lock_loc"] = (filename, line)
  41
  42     def qemu_mutex_locked(self, timestamp, mutex, filename, line):
  43         self.locked += 1
  44         rec = self._get_mutex(mutex)
  45         rec["locked"] += 1
  46         rec["locked_time"] = timestamp[0]
  47         acquire_time = rec["locked_time"] - rec["lock_time"]
  48         rec["locked_loc"] = (filename, line)
  49         rec["acquire_times"].append(acquire_time)
  50
  51     def qemu_mutex_unlock(self, timestamp, mutex, filename, line):
  52         self.unlocks += 1
  53         rec = self._get_mutex(mutex)
  54         rec["unlocked"] += 1
  55         held_time = timestamp[0] - rec["locked_time"]
  56         rec["held_times"].append(held_time)
  57         rec["unlock_loc"] = (filename, line)
  58
  59
  60 def get_args():
  61     "Grab options"
  62     parser = argparse.ArgumentParser()
  63     parser.add_argument("--output", "-o", type=str, help="Render plot to file")
  64     parser.add_argument("events", type=str, help='trace file read from')
  65     parser.add_argument("tracefile", type=str, help='trace file read from')
  66     return parser.parse_args()
  67
  68 if __name__ == '__main__':
  69     args = get_args()
  70
  71     # Gather data from the trace
  72     analyser = MutexAnalyser()
  73     simpletrace.process(args.events, args.tracefile, analyser)
  74
  75     print ("Total locks: %d, locked: %d, unlocked: %d" %
  76            (analyser.locks, analyser.locked, analyser.unlocks))
  77
  78     # Now dump the individual lock stats
  79     for key, val in sorted(analyser.mutex_records.iteritems(),
  80                            key=lambda k_v: k_v[1]["locks"]):
  81         print ("Lock: %#x locks: %d, locked: %d, unlocked: %d" %
  82                (key, val["locks"], val["locked"], val["unlocked"]))
  83
  84         acquire_times = np.array(val["acquire_times"])
  85         if len(acquire_times) > 0:
  86             print ("  Acquire Time: min:%d median:%d avg:%.2f max:%d" %
  87                    (acquire_times.min(), np.median(acquire_times),
  88                     acquire_times.mean(), acquire_times.max()))
  89
  90         held_times = np.array(val["held_times"])
  91         if len(held_times) > 0:
  92             print ("  Held Time: min:%d median:%d avg:%.2f max:%d" %
  93                    (held_times.min(), np.median(held_times),
  94                     held_times.mean(), held_times.max()))
  95
  96         # Check if any locks still held
  97         if val["locks"] > val["locked"]:
  98             print ("  LOCK HELD (%s:%s)" % (val["locked_loc"]))
  99             print ("  BLOCKED   (%s:%s)" % (val["lock_loc"]))